Data interaction models for predictive system in pervasive computing environment

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Pervasive computing is an application-driven field which is slowly proliferating into our everyday life. Pervasive systems are complex due to the multidisciplinary nature of the diverse set of applications and lack of standard definitions, algorithms and architectures. Data is collected in various forms over short and long term period from a number of devices, often with wireless and mobile capabilities. The data interaction among these systems requires prudent iterative approach. Besides, most pervasive applications are still in a nascent stage and exist mostly in labs or in specialized environments or in the form of single isolated applications. Hence, research is crucial as these systems mature to address common data interaction models to achieve efficient intelligent pervasive systems. A lot more work is needed before wireless networking can enable configuration-free data interaction between alien devices in pervasive applications.